从物联网应用的网络延迟和传输概率角度评估无线传感器网络的可靠性

Pranati Mishra, R. K. Dash, Deeapak Kumar Panda, Ashish, Bechoo Lal, N. S. Gupta
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摘要

可靠性是无线传感器网络(WSN)的一个重要性能指标,因为它能确保网络在传感器节点和无线连接性能下降的情况下仍能正常运行。由于与传感器节点相关的可用电力资源有限,它们的功效会降低。此外,邻居数量、数据包成功率、数据包大小和节点容量等参数也会对传感器节点的功能产生重大影响。同样,节点间距离和信噪比(SNR)对 WSN 无线通信功能的影响最大。因此,在评估 WSN 的可靠性之前,必须先计算节点和链路的可靠性。本文通过考虑前面提到的所有参数来评估传感器节点的可靠性。此外,还分别根据每次唤醒操作和数据包传输所消耗的部分能量来估算每个传感器节点的寿命。利用节点间距离和信噪比值,确定每个无线链路的可靠性。在此基础上,提出了一种评估 WSN 可靠性的算法,首先列举传感器节点与基站之间的所有最小路径,然后将这些最小路径转换为它们的异或积之和。利用一个合适的示例网络,说明了所提方法的每一个步骤。为了评估 WSN 的可靠性,我们在不同的环境中模拟了所提出的方法。此外,还描述和分析了节点间距离、信噪比、邻居数量、数据包成功率和时间等参数对 WSN 可靠性值的影响。
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Reliability Evaluation of a Wireless Sensor Network in Terms of Network Delay and Transmission Probability for IoT Applications
Reliability is a crucial performance metric for wireless sensor networks (WSNs) because it ensures network functionality even with degraded sensor nodes and wireless connections. Due to the limited availability of power resources associated with the sensor nodes, their efficacy is reduced. In addition, parameters such as the number of neighbours, packet success rate, packet size, and node capacity have a significant impact on how sensor nodes function. Similarly, inter-node distance and signal-to-noise ratio (SNR) have the greatest influence on the functioning of wireless communications in WSNs. Before evaluating the reliability of a WSN, therefore, the node and link reliability must be computed. This paper evaluates the reliability of sensor nodes by taking into account all of the parameters previously mentioned. In addition, the lifetime of each sensor node is estimated in terms of the fractional energy consumed for each wake-up operation and the transmission of packets, respectively. Using the inter-node distance and SNR values, each wireless link’s reliability is determined. Following this, a proposed algorithm evaluates the reliability of WSN by first enumerating all minimal paths between the sensor node and the base station and then converting these minimal paths into their sum-of-disjoint-product terms. Making use of a suitable example network, every step of the proposed method is illustrated. For evaluating the reliability of WSN, the proposed method is simulated in different environments. In addition, the influence of parameters such as inter-node distance, SNR, number of neighbours, packet success ratio, and time on the reliability values of WSN is portrayed and analysed.
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